Evidence map›Paper›PMID 36671881›Full record

ArticleBiosensors2022

Ultrasensitive Optical Fingerprinting of Biorelevant Molecules by Means of SERS-Mapping on Nanostructured Metasurfaces.

Elizaveta Kozhina, Sergey Bedin, Alexander Martynov, Stepan Andreev, Alexey Piryazev, Yuri Grigoriev, Yulia Gorbunova, Andrey Naumov

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Elizaveta KozhinaLaboratory of Plasmonics, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, bld. 1, 121205 Moscow, Russia.
Sergey BedinDepartment of Advanced Photonics and Sensorics, Lebedev Physical Institute RAS, Troitsk Branch, Fizicheskaya Str. 11, 108840 Moscow, Troitsk, Russia.ORCID 0000-0002-7342-124X
Alexander MartynovFrumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Leninskiy Prosp., 31 Building 4, 119071 Moscow, Russia.
Stepan AndreevLaboratory of Physics of Advanced Materials and Nanostructures, Moscow State Pedagogical University, Malaya Pirogovskaya St. 1-1, 119991 Moscow, Russia.ORCID 0000-0003-3588-2894
Alexey PiryazevDepartment of Chemistry, Moscow State University, Leninskie Gory, 1, 119991 Moscow, Russia.
Yuri GrigorievLaboratory for the Growth of Thin Films and Inorganic Nanostructures Center of Crystallography and Photonics of RAS, Leninskiy Prosp. 59, 119333 Moscow, Russia.
Yulia GorbunovaFrumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Leninskiy Prosp., 31 Building 4, 119071 Moscow, Russia.ORCID 0000-0002-2333-4033
Andrey NaumovDepartment of Advanced Photonics and Sensorics, Lebedev Physical Institute RAS, Troitsk Branch, Fizicheskaya Str. 11, 108840 Moscow, Troitsk, Russia.ORCID 0000-0001-7938-9802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most relevant technique for portable (on-chip) sensors is Surface Enhanced Raman Scattering (SERS). This strategy crashes in the case of large (biorelevant) molecules and nano-objects, whose SERS spectra are irreproducible for "homeopathic" concentrations. We suggested solving this problem by SERS-mapping. We analyzed the distributions of SERS parameters for relatively "small" (malachite green (MG)) and "large" (phthalocyanine, H

Indexed as

Metal NanoparticlesNanostructuresRosaniline DyesSpectrum Analysis, Ramanmalachite greenRosaniline Dyesbiosensingnanowiresnumerical simulationsRaman mappingSERStrack-etched membranes

Identifiers

PMID36671881
PMCPMC9855407

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.